The best Books to Learn Machine Learning in 2021
In this post, we will compare what for us are three of the best books to learn Machine Learning in 2021. Which one will win?
Tag: Machine Learning
Naive Bayes Explained
Naive Bayes Explained: A simplification of the Bayes Theorem for Machine Learning applications. Learn all about it with this article!
The Lift Curve Code
The code to plot the Lift Curve in Python This little code snippet implements the function which allows you to plot the Lift Curve in Machine learning using Mat...
The Guide to Evaluating Machine Learning models
Learn the keys to evaluating Machine Learning models and improving their performance with this great article!
ROC Curve Python
The definitive ROC Curve in Python code Learn the ROC Curve Python code: The ROC Curve and the AUC are one of the standard ways to calculate the performance of ...
Lift Curve in Machine Learning Explained with an Example
A beginner-friendly guide to lift curves in machine learning, with examples, intuition, and practical use cases
ROC Machine Learning Explained
Learn all about ROC in Machine Learning, one of the best ways to discover the performance of classification algorithms!
What is AutoML in Machine Learning?
Learn what AutoML, the democratisation of Machine Learning is all about and see great examples! 🍅
Feature Engineering for Machine Learning
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Feature Engineering for Machine Learning: The following is a review of t...
Bayes Theorem Explained: Probability for Machine Learning
Bayes Theorem Explained: A simple introduction to one of the most important concepts of probability theory. Check it out!